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The first phase of this project aims to deliver an evolving, experimental low-cost, rapid deployment customer service chatbot for a local astronomical society, featuring Grounding LLM (e.g. RAG), embedding, Agentic AI, function calling to external service.

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AI4Astro

The first phase of this project aims to deliver an evolving, experimental low-cost, rapid deployment customer service chatbot for a local astronomical society, featuring Grounding LLM (e.g. RAG), embedding, Agentic AI, function calling to external service.

Highlight

  • Low cost
  • Rapid deployment

Technologies

  • Azure AI Search (Standard S0 tier)
  • Azure Cosmos DB for NoSQL (Free Tier)
  • Azure Apps (F1 Tier)
  • Azure OpenAI models
    • gpt-4.1 model for chatbot
    • text-embedding-3-small for embedding
  • Azure Data Factory for regular data download and indexing trigger via REST API

Demo Site URL

https://aiforastro.azurewebsites.net/

Completed tasks

  • Grounding LLM (via RAG)
  • Embedding on vectorization

TODOs

  • Agentic AI
  • Function calling to third party service

About

The first phase of this project aims to deliver an evolving, experimental low-cost, rapid deployment customer service chatbot for a local astronomical society, featuring Grounding LLM (e.g. RAG), embedding, Agentic AI, function calling to external service.

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